xVIO: A Range-Visual-Inertial Odometry Framework

10/13/2020
by   Jeff Delaune, et al.
0

xVIO is a range-visual-inertial odometry algorithm implemented at JPL. It has been demonstrated with closed-loop controls on-board unmanned rotorcraft equipped with off-the-shelf embedded computers and sensors. It can operate at daytime with visible-spectrum cameras, or at night time using thermal infrared cameras. This report is a complete technical description of xVIO. It includes an overview of the system architecture, the implementation of the navigation filter, along with the derivations of the Jacobian matrices which are not already published in the literature.

READ FULL TEXT

page 6

page 24

research
03/05/2019

Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments

With an ever-widening domain of aerial robotic applications, including m...
research
09/16/2019

DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination

Visual odometry shows excellent performance in a wide range of environme...
research
06/03/2022

OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum

This paper presents a multimodal indoor odometry dataset, OdomBeyondVisi...
research
07/25/2018

ADVIO: An authentic dataset for visual-inertial odometry

The lack of realistic and open benchmarking datasets for pedestrian visu...
research
04/13/2019

Visual-Inertial Mapping with Non-Linear Factor Recovery

Cameras and inertial measurement units are complementary sensors for ego...
research
07/06/2020

Preintegrated IMU Features For Efficient Deep Inertial Odometry

MEMS Inertial Measurement Units (IMUs) are inexpensive and effective sen...
research
05/12/2018

Observability Analysis of Aided INS with Heterogeneous Features of Points, Lines and Planes

In this paper, we perform a thorough observability analysis for lineariz...

Please sign up or login with your details

Forgot password? Click here to reset